Graduate Education — ISU DIGITAL AG

Earn your graduate degree with Digital Ag

Graduate education with Digital Ag is a unique training experience aimed at developing elite engineering skills in ag machinery and precision ag technology.

Bailey ComputerSiteEdit.jpg — Advanced training in ag machinery and precision ag technologies

As part of our research team, graduates enhance their skills and prepare themselves for a successful career in engineering and technology by gaining experience in:
machinery electronics
field testing
data analysis
communication and project management.

We offer graduate assistantships which provide a **full tuition scholarship** and a **competitive monthly salary.**
Graduate students work as part of an integrated team to complete a research project in addition to the required coursework.

Alumni Experiences

2011 M.S. Agricultural Engineering Graduate:

“My graduate school experience deepened my understanding of engineering fundamentals and allowed me to focus on a particular area of interest. Meanwhile, it helped me understand some of the realities of failures, compromised solutions, and imperfect results.”
Brittany (Schon) Becker, Field Quality Engineer - AGCO Corporation:

M.S. Industrial & Agricultural Technology and Biological Systems Technology, 2012
“Graduate school prepared me with mechanical knowledge about the machines I'm currently working with, as well as preparing my mind to be open to continuous on-the-job learning.”
Mark Deutsch, Test Engineer - John Deere:

M.S. Agricultural Engineering, 2020
“The research that this group does is incredible on its own, but it’s the people that make this group so great. You aren’t going to find a better program or group to work with anywhere in the country.”
Rachel Towey, Lead Process Engineer - Verbio:

M.S. Agricultural & Biological Systems Engineering / M.S. Biorenewable Resources Technology, 2016
“The opportunity I had to complete both lab-scale and field-scale work was extremely valuable. Utilizing both field application with potentially less control paired with highly reproducible simulation gives a realistic and data driven outcome. The resources available and creativity of this team makes this possible.”